{"rsdb":{"rid":"309127","subhead":"","postdate":"0","aid":"224289","fid":"117","uid":"1","topic":"1","content":"
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\u672c\u535a\u6587\u7684\u4e3b\u8981\u5185\u5bb9\u5982\u4e0b\uff1a<\/strong><\/span><\/p>\n

\u3000\u3000.hive\u7684\u8be6\u7ec6\u5b98\u65b9\u624b\u518c<\/strong><\/span><\/p>\n

\u3000\u3000 .hive\u652f\u6301\u7684\u6570\u636e\u7c7b\u578b<\/strong><\/span><\/p>\n

\u3000\u3000 \u3000.Hive Shell<\/span><\/strong><\/p>\n

\u3000\u3000.Hive\u5de5\u7a0b\u6240\u9700\u4f9d\u8d56\u7684jar\u5305<\/strong><\/span><\/strong><\/p>\n

\u3000\u3000.hive\u81ea\u5b9a\u4e49\u51fd\u6570<\/strong><\/span><\/strong><\/p>\n

\u3000\u3000.\u5206\u68764<\/strong><\/strong><\/span><\/strong><\/p>\n

\u3000\u3000 .\u9644PPT<\/strong><\/span><\/p>\n

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hive\u7684\u8be6\u7ec6\u5b98\u65b9\u624b\u518c<\/strong><\/span><\/p>\n

http:\/\/hive.apache.org\/<\/a><\/p>\n

\"\"<\/p>\n

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https:\/\/cwiki.apache.org\/confluence\/display\/Hive\/LanguageManual<\/a><\/p>\n

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\u3000\u3000\u6807\u51c6\u7684SQL\uff0chive\u90fd\u652f\u6301\u3002<\/p>\n

\u8fd9\u5c31\u662f\uff0c\u4e3a\u4ec0\u4e48\u76ee\u524dhive\u5360\u6709\u5e02\u573a\u8fd9\u4e48\u591a\uff0c\u56e0\u4e3a\uff0c\u592a\u4e30\u5bcc\u4e86\uff0c\u5f53\u7136\uff0cSpark\u90a3\u8fb9\u7684Spark SQL\uff0c\u4e5f\u5728\u4e0d\u65ad\u5730\u8fdb\u6b65\u3002<\/p>\n

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https:\/\/cwiki.apache.org\/confluence\/display\/Hive\/LanguageManual+Types<\/a><\/p>\n

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\u3000\u3000\u975e\u5e38\u591a\uff0c\u81ea\u884c\u53bb\u7814\u7a76\uff0c\u8fd9\u91cc\u4e0d\u591a\u8d58\u8ff0\u3002<\/p>\n

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\u5c06\u67e5\u8be2\u7ed3\u679c\uff0c\u5199\u5230\u672c\u5730\u6587\u4ef6\u6216hdfs\u91cc\u7684\u6587\u4ef6<\/strong><\/span><\/p>\n

\/\/write to hdfs<\/p>\n

\n
insert overwrite local directory '\/home\/hadoop\/hivetemp\/test.txt' select * from tab_ip_part where part_flag='part1';    \/\/<\/span>\u8def\u5f84\u53ef\u4ee5\u662fLinux\u672c\u5730\u7684<\/span>\n\ninsert overwrite directory <\/span>'\/hiveout.txt' select * from tab_ip_part where part_flag='part1';  \/\/<\/span>\u8def\u5f84\u4e5f\u53ef\u4ee5\u662fhdfs\u91cc\u7684<\/span><\/pre>\n<\/div>\n
\u8fd9\u91cc\uff0c\u4e0d\u6f14\u793a<\/p>\n
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\/\/array<\/strong><\/span><\/p>\n
\n
create table tab_array(a<\/span> array<\/strong><\/span><int<\/span>>,b array<\/strong><\/span><string<\/span>>)\nrow format delimited\nfields terminated by <\/span>'\\t'\ncollection items terminated by <\/span>',';<\/pre>\n<\/div>\n
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\u793a\u4f8b\u6570\u636e<\/p>\n
\n
tobenbrone, laihama,woshishui<\/span>     13866987898,13287654321<\/span><\/strong>\nabc,iloveyou,itcast     <\/span>13866987898,13287654321<\/pre>\n<\/div>\n
<\/p>\n
\n
select a[0] from tab_array;\nselect <\/span>* from tab_array where array_contains(b,'word');\ninsert into table tab_array select array(<\/span>0),array(name,ip) from tab_ext t;<\/pre>\n<\/div>\n
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\/\/map<\/strong><\/span><\/p>\n
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create table tab_map(name string,info<\/span> map<\/span><\/strong><string<\/span>,string<\/span>>)\nrow format delimited\nfields terminated by <\/span>'\\t'\ncollection items terminated by <\/span>';'\nmap keys terminated by <\/span>':';<\/pre>\n<\/div>\n
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\u793a\u4f8b\u6570\u636e\uff1a<\/p>\n
\n
fengjie                         age:18<\/span><\/strong>;size:36A;addr:usa<\/span><\/strong>\nfurong          age:<\/span>28;size:39C;addr:beijing;weight:180KG<\/pre>\n<\/div>\n
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\n
load data local inpath '\/home\/hadoop\/hivetemp\/tab_map.txt' overwrite into table tab_map;\ninsert into table tab_map select name,map(<\/span>'name',name,'ip',ip) from tab_ext;<\/pre>\n<\/div>\n
\u3000\u3000\u8fd9\u91cc\uff0c\u4e0d\u591a\u8d58\u8ff0\u3002<\/p>\n
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\/\/struct<\/strong><\/span><\/p>\n
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create table tab_struct(name string,info struct<age:int<\/span>,tel:string,addr:string>)\nrow format delimited\nfields terminated by <\/span>'\\t'\ncollection items terminated by <\/span>','<\/pre>\n<\/div>\n
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\n
load data local inpath '\/home\/hadoop\/hivetemp\/tab_st.txt' overwrite into table tab_struct;\ninsert into table tab_struct select name,named_struct(<\/span>'age',id,'tel',name,'addr',country) from tab_ext;<\/pre>\n<\/div>\n
\u3000\u3000\u8fd9\u91cc\uff0c\u4e0d\u591a\u8d58\u8ff0\u3002<\/p>\n
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Hive Shell<\/strong><\/span><\/p>\n
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\/\/cli shell<\/strong><\/span><\/p>\n
\n
hive -S -e 'select country,count(*) from tab_ext' > \/home\/hadoop\/hivetemp\/e.txt <\/pre>\n<\/div>\n
\u3000\u3000\u6709\u4e86\u8fd9\u79cd\u6267\u884c\u673a\u5236\uff0c\u5c31\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u811a\u672c\u8bed\u8a00\uff08bash shell,python<\/a>\uff09\u8fdb\u884chql\u8bed\u53e5\u7684\u6279\u91cf\u6267\u884c<\/p>\n
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\n
select * from tab_ext sort by id desc limit 5;\n\n \nselect a.ip,b.book from tab_ext a join tab_ip_book b on(a.name<\/span>=b.name);<\/pre>\n<\/div>\n
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\u3000\u3000\u601d\u8003\u4e00\u4e2a\u95ee\u9898<\/strong><\/span>\uff1a\u5c31\u8bf4\uff0c\u4e00\u4e2a\u4e1a\u52a1\u573a\u666f\u91cc\u9762\uff0c\u5199sql\u8bed\u53e5\u53bb\u5206\u6790\u4f5c\u7edf\u8ba1\uff0c\u5f80\u5f80\u4e0d\u662f\u4e00\u53e5sql\u8bed\u53e5\u80fd\u641e\u5b9a\u7684\uff0csql\u5bf9\u4e00\u4e9b\u5b57\u6bb5\u6216\u51fd\u6570\u6216\u81ea\u5b9a\u4e49\u51fd\u6570\u5904\u7406\u4f1a\u5f97\u51fa\u4e00\u4e9b\u4e2d\u95f4\u7ed3\u679c\uff0c\u4e2d\u95f4\u7ed3\u679c\u5b58\u5728\u4e2d\u95f4\u8868\u91cc\uff0c\u7136\u540e\uff0c\u624d\u53ef\u8fdb\u5165\u4e0b\u4e00\u6b65\u7684\u5904\u7406\u3002\u53ef\u80fd\uff0c\u4f60\u9700\u5199\u597d\u591a\u6761sql\u8bed\u53e5\uff0c\u6309\u7167\u6279\u91cf\uff0c\u6d41\u7a0b\u53bb\u8d70\uff0c\u4ee5\u524d\u5728\u5173\u7cfb\u578b\u6570\u636e\u5e93\u91cc\uff0c\u662f\u6309\u7167\u6d41\u7a0b\u5904\u7406\u8fc7\u7a0b\u505a\u7684\u3002<\/p>\n
\u3000\u3000hive\u91cc\uff0c\u4e0d\u652f\u6301\u5b58\u50a8\u8fc7\u7a0b\u7684\u8bed\u6cd5\uff0c\u90a3\u82e5\u6709\u4e00\u4e2a\u6a21\u578b\uff0c\u8fd9\u4e2a\u6a21\u578b\u91cc\u6709\u5341\u51e0\u4e2asql\u8bed\u53e5\uff0c\u4e00\u6761\u4e00\u6761\u5199\u5f88\u9ebb\u70e6\uff0c\u90a3\u4e48\uff0chive\u5728\u60f3\uff0c\u80fd\u4e0d\u80fd\u7ec4\u7ec7\u6210\u6279\u91cf\u53bb\u8fd0\u884c\u5462\uff1f\u5219\u501f\u5916\u90e8\u7684\u5de5\u4f5c\uff08\u5982\u5199\u4e00\u4e2ashell\u811a\u672c\uff0c\u6267\u884c\u5341\u51e0\u4e2asql\u8bed\u53e5\uff09<\/span><\/strong>\u3002<\/p>\n
\u3000\u3000\u53ef\u4ee5\u53c2\u7167<\/p>\n
Sqoop \u811a\u672c\u5f00\u53d1\u89c4\u8303\uff08\u5b9e\u4f8b\u624b\u628a\u624b\u5e26\u4f60\u5199sqoop export\u548csqoop import\uff09<\/a><\/h1>\n
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\u5728shell\u4e0b\uff0c\u63a5\u6536\u3002<\/p>\n
\/\/cli shell<\/strong><\/span><\/p>\n
\n
hive -S -e 'select country,count(*) from tab_ext' > \/home\/hadoop\/hivetemp\/e.txt <\/pre>\n<\/div>\n
\u3000\u3000\u6709\u4e86\u8fd9\u79cd\u6267\u884c\u673a\u5236\uff0c\u5c31\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u811a\u672c\u8bed\u8a00\uff08bash shell,python<\/a>\uff09\u8fdb\u884chql\u8bed\u53e5\u7684\u6279\u91cf\u6267\u884c<\/p>\n
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\n
select * from tab_ext sort by id desc limit 5;\nselect a.ip,b.book from tab_ext a join tab_ip_book b on(a.name<\/span>=b.name);<\/pre>\n<\/div>\n
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\u3000\u3000\u5982\u4e1a\u52a1\u573a\u666f\u91cc\uff0c<\/strong><\/span><\/p>\n
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\u3000\u3000\u6709\u4e86\u8fd9\u79cd\u6267\u884c\u673a\u5236\uff0c\u5c31\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u811a\u672c\u8bed\u8a00\uff08bash shell,python\uff09\u8fdb\u884chql\u8bed\u53e5\u7684\u6279\u91cf\u6267\u884c\u3002<\/p>\n
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bash shell\u548cpython\u662f\u6700\u5e38\u7528\u7684\u4e24\u79cd\u811a\u672c\u8bed\u8a00\u3002<\/strong><\/span><\/p>\n
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\u65b0\u5efa\u5305\uff0ccn.itcast.bigdata<\/p>\n
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\u65b0\u5efa\uff0cPhoneNbrToArea.java<\/a><\/p>\n
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\u7f16\u5199\u4ee3\u7801<\/p>\n
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\u89e3\u538b<\/p>\n
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\"\"<\/p>\n
\u3000\u3000\u4e3a\u4e86\u65b9\u4fbf\uff0c\u628aD:\\SoftWare\\hive-0.12.0\\lib\u7684jar\u5305\uff0c\u5168\u5bfc\u5165\u8fdb\u53bb\uff0c\u4f46\u662f\uff0c\u8fd8\u8981\u5bfc\u5165hadoop-core-***.Jar\u3002\uff08\u521d\u5b66\uff0c\u8fd8\u662f\u624b\u52a8\u5427\uff01\uff09<\/p>\n
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\u3000\u3000\u67e5\u9605\u4e86\u4e00\u4e9b\u8d44\u6599\u3002\u5728hive\u5de5\u7a0b\uff0c\u6240\u4f9d\u8d56\u7684jar\u5305\uff0c\u4e00\u822c\u90fd\u662f\u6709\u5982\u4e0b\u5c31\u597d\u4e86\u300212\u4e2ajar\u5305\u3002<\/p>\n
http:\/\/xiaofengge315.blog.51cto.com\/405835\/1408512<\/a><\/p>\n
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http:\/\/blog.csdn.net\/haison_first\/article\/details\/41051143<\/a><\/p>\n
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commons-lang-***.jar<\/p>\n
commons-logging-***.jar<\/p>\n
commons-logging-api-***.jar<\/p>\n
hadoop-core-***.jar<\/p>\n
hive-exec-***.jar<\/p>\n
hive-jdbc-***.jar<\/p>\n
hive-metastore-***.jar<\/p>\n
hive-service-***.jar<\/p>\n
libfb***.jar<\/p>\n
log4j-***.jar<\/p>\n
slf4j-api-***.jar<\/p>\n
sl4j-log4j-***.jar<\/p>\n
<\/p>\n
\u8bf4\u660e\uff0c\u6ce8\u610f\u4e86\uff0c\u5728hadoop-2.X\u7248\u672c\u4e4b\u540e\uff0chadoop-core-***.jar\uff0c\u6ca1\u6709\u4e86\uff0c\u88ab\u5206\u6563\u6210\u5176\u4ed6\u7684jar\u5305\u4e86\u3002\u4ee5\u524d\uff0c\u662f\u653e\u5728hadoop\u538b\u7f29\u5305\u4e0b\u7684share\u76ee\u5f55\u4e0b\u7684<\/p>\n
http:\/\/zhidao.baidu.com\/linkurl=KI6ZkudqskDjAthYc2PtTlmB_3FhR3OaMzm4Wcrl_oCkaJfBhaTd7mHSHsy1lkPYO8xa0EGhpD8RSnYdnpkDkGiZX04qff3ul3-xX-cOi07<\/a><\/p>\n
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\u3000\u30002.x\u7cfb\u5217\u5df2\u7ecf\u6ca1\u6709hadoop-core\u7684jar\u5305\u4e86\uff0c\u53d8\u6210\u4e00\u4e2a\u4e2a\u6563\u7684\u4e86\uff0c\u50cf\u4e0b\u9762\u8fd9\u6837<\/p>\n
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\u3000\u3000\u9274\u4e8e\u6b64\uff0c\u56e0\u4e3a\uff0chive\u5de5\u7a0b\u4f9d\u8d56\u4e8ehive jar\u4f9d\u8d56\u5305\uff0c\u65e5\u5fd7jar\u5305\u3002<\/p>\n
\u7531\u4e8ehive\u7684\u5f88\u591a\u64cd\u4f5c\u4f9d\u8d56\u4e8emapreduce\u7a0b\u5e8f\uff0c\u56e0\u6b64\uff0chive\u5de5\u7a0b\u4e2d\u8fd8\u9700\u5f15\u5165hadoop\u5305\u3002<\/p>\n
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udf\u548cjdbc\u8fde\u63a5hive\u9700\u8981\u7684jar\u5305\uff0c\u57fa\u672c\u662f\u6700\u7b80\u7684\u4e86\u3002<\/p>\n
\u5728\u8fd9\u4e00\u6b65\uff0c\u5404\u6709\u8bf4\u6cd5\uff0c\u4f46\u662f\u786e\u5b9e\uff0c\u662f\u4e0d\u9700\u8981\u5168\u90e8\u5bfc\u5165\uff0c\u5f53\u7136\uff0c\u82e5\u662f\u56fe\u4e2a\u65b9\u4fbf\uff0c\u53ef\u5168\u90e8\u5bfc\u5165\u3002<\/p>\n
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\u6211\u8fd9\u91cc\uff0chadoop\u7684\u7248\u672c\u662f\uff0chadoop-2.4.1\uff0chive\u7684\u7248\u672c\u662f\uff0chive-0.12.0\u3002\uff08\u56e0\u4e3a\uff0c\u8fd9\u4e2a\u662f\u81ea\u5e26\u7684\uff09<\/strong><\/span><\/p>\n
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\u518d\u8c08hive-1.0.0\u4e0ehive-1.2.1\u5230JDBC\u7f16\u7a0b\u5ffd\u7565\u7ec6\u8282\u95ee\u9898<\/a><\/h1>\n
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Hive\u5de5\u7a0b\u6240\u9700\u4f9d\u8d56\u7684jar\u5305<\/strong><\/span><\/p>\n
\u603b\u7ed3\uff1a\u5c31\u662f\u5c06D:\\SoftWare\\hadoop-2.4.1\\share\\hadoop\\common\u4e0b\u7684hadoop-common-2.4.1.jar<\/p>\n
\uff0c\u4ee5\u53caD:\\SoftWare\\hive-0.12.0\\lib\\\u4e0b\u7684\u6240\u6709\u3002\u5373\u53ef\u3002\uff08\u56fe\u4e2a\u65b9\u4fbf\uff09\uff01<\/p>\n
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\u5f53\u7136\uff0c\u751f\u4ea7\u91cc\uff0c\u4e0d\u5efa\u8bae\u8fd9\u4e48\u505a\u3002<\/p>\n
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\u4e5f\u53c2\u8003\u4e86\u7f51\u4e0a\u4e00\u4e9b\u535a\u5ba2\u8d44\u6599\u8bf4\uff0c\u4e0d\u9700\u8fd9\u4e48\u591a\u3002\u6b64\u5916\uff0c\u7a0b\u5e8f\u53ef\u80fd\u5305\u542b\u4e00\u4e9b\u95f4\u63a5\u5f15\u7528\uff0c\u4ee5\u540e\u518d\u9010\u6b65\u9010\u4e2a\uff0c\u4e0b\u8f7d\uff0c\u6dfb\u52a0\u5c31\u662f\u3002\u590d\u5236\u7c98\u8d34\u5230hive-0.12.0lib \u91cc\u3002<\/p>\n
\u53bbhttp:\/\/mvnrepository.com\/<\/a>\u3002<\/p>\n
\u3000\u3000\u53c2\u8003\u6211\u7684\u535a\u5ba2<\/p>\n
            Eclipse\u4e0b\u65b0\u5efaMaven\u9879\u76ee\u3001\u81ea\u52a8\u6253\u4f9d\u8d56jar\u5305<\/a><\/h1>\n
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2 weekend110\u7684HDFS\u7684JAVA\u5ba2\u6237\u7aef\u7f16\u5199 + filesystem\u8bbe\u8ba1\u601d\u60f3\u603b\u7ed3<\/a><\/h1>\n
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weekend110-hive ->  Build Path -> Configure Build Path<\/p>\n
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\u603b\u7ed3\uff1a\u5c31\u662f\u5c06D:\\SoftWare\\hadoop-2.4.1\\share\\hadoop\\common\u4e0b\u7684hadoop-common-2.4.1.jar<\/p>\n
\uff0c\u4ee5\u53caD:\\SoftWare\\hive-0.12.0\\lib\\\u4e0b\u7684\u6240\u6709\u3002\u5373\u53ef\u3002\uff08\u56fe\u4e2a\u65b9\u4fbf\uff09\uff01<\/p>\n
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D:\\SoftWare\\hive-0.12.0\\lib\\\u4e0b\u7684\u6240\u6709<\/strong><\/p>\n
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D:\\SoftWare\\hadoop-2.4.1\\share\\hadoop\\common\u4e0b\u7684hadoop-common-2.4.1.jar<\/strong><\/p>\n
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package<\/span> cn.itcast.bigdata;\n<\/span>import<\/span> java<\/a>.util.HashMap;\n<\/span>import<\/span> org.apache.hadoop.hive.ql.exec.UDF;\n\n\n\n<\/span>public<\/span> class<\/span> PhoneNbrToArea extends<\/span> UDF{\n    <\/span>private<\/span> static<\/span> HashMap<String, String> areaMap = new<\/span> HashMap<>();\n    <\/span>static<\/span> {\n       areaMap.put(<\/span>\"1388\", \"beijing\");\n       areaMap.put(<\/span>\"1399\", \"tianjin\");\n       areaMap.put(<\/span>\"1366\", \"nanjing\");\n    }\n\n   \n\n    <\/span>\/\/<\/span>\u4e00\u5b9a\u8981\u7528public\u4fee\u9970\u624d\u80fd\u88abhive\u8c03\u7528<\/span>\n    public<\/span> String eva luate(String pnb) {\n       String result  <\/span>= areaMap.get(pnb.substring(0,4))==null<\/span> (pnb+\"    huoxing\"):(pnb+\"  \"+areaMap.get(pnb.substring(0,4)));      \n       <\/span>return<\/span> result;\n    }\n}<\/span><\/pre>\n<\/div>\n
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\u9ed8\u8ba4\u662f\/root\/\u4e0b\uff0c<\/p>\n
\u8fd9\u91cc\uff0c\u6211\u6539\u4e0b\u5230\/home\/hadoop\/\u4e0b<\/p>\n
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\/\/UDF<\/strong><\/span><\/p>\n
\n
select if<\/span>(id=1,first,no-first),name from tab_ext;<\/pre>\n<\/div>\n
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hive>add jar \/home\/hadoop\/myudf.jar;\nhive<\/span>>CREATE TEMPORARY FUNCTION my_lower AS 'org.dht.Lower';\nselect my_upper(name) from tab_ext;  <\/span><\/pre>\n<\/div>\n
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hive\u81ea\u5b9a\u4e49\u51fd\u6570<\/strong><\/span><\/p>\n
\u63a5\u4e0b\u6765\uff0c\u521b\u5efahive\u81ea\u5b9a\u4e49\u51fd\u6570\uff0c\u6765\u4e0e\u5b83\u5173\u8054\u3002Hive\u81ea\u5e26\u7684\u51fd\u6570\u662f\u6c38\u4e45\uff0c\u6211\u4eec\u81ea\u5b9a\u4e49\u7684\u51fd\u6570\u662fTEMPORARY\u3002<\/p>\n
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\u5f97\u8981\u53bb\u6389\uff0c \u4e0d\u7136\u540e\u7eed\u5904\u7406\uff0c\u4f1a\u51fa\u73b0\u95ee\u9898\u3002<\/p>\n
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\u3000\u3000\u5728\u4f01\u4e1a\u91cc\uff0c\u4f7f\u7528hive\u662f\u6709\u89c4\u8303\u6b65\u9aa4\u7684\uff0c\u4e00\u822c\u5728\u91c7\u7528\u5143\u6570\u636e\uff0c\u81ea\u52a8\u7528mapreduce\u7a0b\u5e8f\uff0c\u6e05\u6d17\u4e4b\u540e\uff0c\u518d\u7ed9hive\u3002<\/p>\n
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\u3000\u3000\u6570\u636e\u91c7\u96c6 -\u300b  \u6570\u636e\u6e05\u6d17  -> \u6570\u636e\u5f52\u6574  ->  \u518d\u4ea4\u7ed9hive<\/p>\n
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\u5206\u6876<\/strong><\/span><\/p>\n
\u3000\u3000\u6ce8\u610f\uff1a\u666e\u901a\u8868\uff08\u5916\u90e8\u8868\u3001\u5185\u90e8\u8868\uff09\u3001\u5206\u533a\u8868\u8fd9\u4e09\u4e2a\u90fd\u662f\u5bf9\u5e94HDFS\u4e0a\u7684\u76ee\u5f55\uff0c\u6876\u8868\u5bf9\u5e94\u662f\u76ee\u5f55\u91cc\u7684\u6587\u4ef6<\/span><\/strong><\/span><\/p>\n
\/\/CLUSTER <--\u76f8\u5bf9\u9ad8\u7ea7\u4e00\u70b9\uff0c\u4f60\u53ef\u4ee5\u653e\u5728\u6709\u7cbe\u529b\u7684\u65f6\u5019\u624d\u53bb\u5b66\u4e60><\/strong><\/span><\/p>\n
\n
create table tab_ip_cluster(id int<\/span>,name string,ip string,country string)\n\nclustered by(id) into <\/span>3 buckets;   \/\/<\/span>\u6839\u636eid\u6765\u5206\u6876\uff0c\u52063\u6876


<\/span><\/pre>\n
load data local inpath '\/home\/hadoop\/ip.txt' overwrite into table tab_ip_cluster;<\/p>\n
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set hive.enforce.bucketing=true;<\/p>\n
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insert into table tab_ip_cluster select * from tab_ip;<\/p>\n
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select * from tab_ip_cluster tablesample(bucket 2 out of 3 on id);<\/p>\n
<\/pre>\n<\/div>\n
\u3000\u3000\u5206\u6876<\/strong><\/span>\u662f\u7ec6\u7c92\u5ea6\u7684\uff0c\u5206\u6876\u662f\u4e0d\u540c\u7684\u6587\u4ef6<\/span><\/strong>\u3002<\/p>\n
\u3000\u3000\u5206\u533a<\/strong>\u662f\u7c97\u7c92\u5ea6\u7684\uff0c\u5373\u76f8\u5f53\u4e8e\uff0c\u8868\u4e0b\u5efa\u7acb\u6587\u4ef6\u5939\u3002\u5206\u533a\u662f\u4e0d\u540c\u7684\u6587\u4ef6\u5939<\/strong>\u3002<\/p>\n
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\u6876\u5728\u5bf9\u6307\u5b9a\u5217\u8fdb\u884c\u54c8\u5e0c\u8ba1\u7b97\u65f6\uff0c\u4f1a\u6839\u636e\u54c8\u5e0c\u503c\u5207\u5206\u6570\u636e\uff0c\u4f7f\u6bcf\u4e2a\u6876\u5bf9\u5e94\u4e00\u4e2a\u6587\u4ef6\u3002<\/p>\n
\u3000\u3000\u91cc\u9762\u7684id\u662f\u54c8\u5e0c\u503c\uff0c\u5206\u8fc7\u6765\u7684\u3002<\/p>\n
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\u5206\u6876\uff0c\u4e00\u822c\u7528\u4f5c\u6570\u636e\u503e\u659c\u548c\u6570\u636e\u62bd\u6837\u65b9\u9762\u3002\u7531\u6b64\uff0c\u53ef\u770b\u51fa\u662f\u7ec6\u7c92\u5ea6\u3002<\/p>\n
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\u9644PPT<\/strong><\/span><\/p>\n
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<\/p><\/div>          <\/div>\n                  <\/div>","orderid":"0","title":"3  hql\u8bed\u6cd5\u53ca\u81ea\u5b9a\u4e49\u51fd\u6570\uff08\u542barray\u3001map\u8bb2\u89e3\uff09   +  hive\u7684java api","smalltitle":"","mid":"0","fname":"Hive","special_id":"0","bak_id":"0","info":"0","hits":"405","pages":"1","comments":"0","posttime":"2019-05-16 00:56:40","list":"1557939400","username":"admin","author":"","copyfrom":"","copyfromurl":"","titlecolor":"","fonttype":"0","titleicon":"0","picurl":"https:\/\/www.cppentry.com\/upload_files\/","ispic":"0","yz":"1","yzer":"","yztime":"0","levels":"0","levelstime":"0","keywords":"hql<\/A> \u8bed\u6cd5<\/A> \u5b9a\u4e49<\/A> \u51fd\u6570<\/A> array<\/A> map<\/A> \u8bb2\u89e3<\/A>  <\/A> hive<\/A> java<\/A> api<\/A>","jumpurl":"","iframeurl":"","style":"","template":"a:3:{s:4:\"foot\";s:0:\"\";s:8:\"bencandy\";s:0:\"\";s:4:\"head\";s:0:\"\";}","target":"0","ip":"47.106.78.186","lastfid":"0","money":"0","buyuser":"","passwd":"","allowdown":"","allowview":"","editer":"","edittime":"0","begintime":"0","endtime":"0","description":"                                                                \u672c\u535a\u6587\u7684\u4e3b\u8981\u5185\u5bb9\u5982\u4e0b\uff1a\u3000\u3000.hive\u7684\u8be6\u7ec6\u5b98\u65b9\u624b\u518c\u3000\u3000  .hive\u652f\u6301\u7684\u6570\u636e\u7c7b\u578b\u3000\u3000 \u3000.Hive Shell\u3000\u3000.Hive\u5de5\u7a0b\u6240\u9700\u4f9d\u8d56\u7684jar\u5305\u3000\u3000.hive\u81ea\u5b9a\u4e49\u51fd\u6570\u3000\u3000.\u5206\u68764\u3000\u3000  .\u9644PPThive\u7684\u8be6\u7ec6\u5b98\u65b9\u624b\u518chttp:\/\/h..","lastview":"1713459599","digg_num":"0","digg_time":"0","forbidcomment":"0","ifvote":"0","heart":"","htmlname":"","city_id":"0"},"page":"1"}